Supply Chain Management and Operational Effectiveness a Transportation Case Study

Euphodia Netshakhuma, Jan Harm C. Pretorius, Leon Pretorius

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Operational efficiency in the rail engineering company is impacted by the performance of supply chain management. The procurement processes at state-owned entities within the realm of supply chain management are characterized by extended durations, mostly attributable to the legislative framework governing their procedures. The purpose of this study is to evaluate the existing supply chain management strategy TO maximise operational efficiency. The study will explore demand planning, supply chain efficiency, effectiveness, and inventory management solutions. The study focused on the rail Engineering case study company in the Republic of South Africa. The primary data involved semi-structured interviews with experienced participants who are managers and specialists in operation management and supply chain management in rolling stock maintenance in rail Engineering company and engaging in various techniques to improve the efficiency of operations. This study provides insight into the supply chain management techniques used in the rail industry to ensure operational efficiencies. Additional analysis may be required to develop cost-effective solutions for implementing a comprehensive demand planning and management department, including the automation of the entire process to seamlessly integrate suppliers. The rail operations are minimally researched, especially regarding their operational efficiency and practices in supply chain management. The results of this study appear to have applicability to other state-owned enterprises that also have strict requirements.

Original languageEnglish
Title of host publicationPICMET 2024 - 2024 Portland International Conference on Management of Engineering and Technology
Subtitle of host publicationTechnology Management in the Artificial Intelligence Era, Proceedings
EditorsDundar F. Kocaoglu, Timothy R. Anderson, Dilek Cetindamar Kozanoglu, Kiyoshi Niwa, Harm-Jan Steenhuis
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781890843458
DOIs
Publication statusPublished - 2024
Event2024 Portland International Conference on Management of Engineering and Technology, PICMET 2024 - Portland, United States
Duration: 4 Aug 20248 Aug 2024

Publication series

NamePICMET 2024 - 2024 Portland International Conference on Management of Engineering and Technology: Technology Management in the Artificial Intelligence Era, Proceedings

Conference

Conference2024 Portland International Conference on Management of Engineering and Technology, PICMET 2024
Country/TerritoryUnited States
CityPortland
Period4/08/248/08/24

ASJC Scopus subject areas

  • Business and International Management
  • Management of Technology and Innovation
  • Strategy and Management
  • Artificial Intelligence
  • Decision Sciences (miscellaneous)

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